Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives

Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara +2

Diffusion generative models have emerged as a new challenger to popular deep neural generative models such as GANs, but have the drawback that they often require a huge number of n…